Scanning electron microscopy image representativeness: morphological data on nanoparticles

ODZIOMEK, KATARZYNA; USHIZIMA, DANIELA; OBERBEK, PRZEMYSLAW; KURZYDŁOWSKI, KRZYSZTOF JAN; PUZYN, TOMASZ; HARANCZYK, MACIEJ

doi:10.1111/jmi.12461

Title: Scanning electron microscopy image representativeness: morphological data on nanoparticles

Journal Article · Mon Aug 29 00:00:00 EDT 2016 · Journal of Microscopy

DOI:https://doi.org/10.1111/jmi.12461· OSTI ID:1401871

ODZIOMEK, KATARZYNA ^[1]; USHIZIMA, DANIELA ^[2]; OBERBEK, PRZEMYSLAW ^[3]; KURZYDŁOWSKI, KRZYSZTOF JAN ^[3]; PUZYN, TOMASZ ^[4]; HARANCZYK, MACIEJ ^[2]

Laboratory of Environmental Chemometrics, Faculty of Chemistry University of Gdansk Gdansk Poland, Computational Research Division Lawrence Berkeley National Laboratory Berkeley California U.S.A.
Computational Research Division Lawrence Berkeley National Laboratory Berkeley California U.S.A.
Materials Design Division Faculty of Materials Science and Engineering Warsaw University of Technology Warsaw Poland
Laboratory of Environmental Chemometrics, Faculty of Chemistry University of Gdansk Gdansk Poland

Summary A sample of a nanomaterial contains a distribution of nanoparticles of various shapes and/or sizes. A scanning electron microscopy image of such a sample often captures only a fragment of the morphological variety present in the sample. In order to quantitatively analyse the sample using scanning electron microscope digital images, and, in particular, to derive numerical representations of the sample morphology, image content has to be assessed. In this work, we present a framework for extracting morphological information contained in scanning electron microscopy images using computer vision algorithms, and for converting them into numerical particle descriptors. We explore the concept of image representativeness and provide a set of protocols for selecting optimal scanning electron microscopy images as well as determining the smallest representative image set for each of the morphological features. We demonstrate the practical aspects of our methodology by investigating tricalcium phosphate, Ca ₃ (PO ₄ ) ₂ , and calcium hydroxyphosphate, Ca ₅ (PO ₄ ) ₃ (OH), both naturally occurring minerals with a wide range of biomedical applications.

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Sponsoring Organization:: USDOE

Grant/Contract Number:: DE‐AC02‐05CH11231

OSTI ID:: 1401871

Journal Information:: Journal of Microscopy, Journal Name: Journal of Microscopy Vol. 265 Journal Issue: 1; ISSN 0022-2720

Publisher:: Wiley-BlackwellCopyright Statement

Country of Publication:: United Kingdom

Language:: English

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Cited by: 25 works

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